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I would like to perform STFT on musical signal with defined sampling rate (44100Hz). I would like to get FFT result for smaller range of frequencies than are maximally available (not 22050Hz but for 4000Hz) so the result will have better frequency resolution. So I think I should downsample it, but how can you downsamp...
I wanted to generate Gray Scale wedge image of 10 Levels in MATLAB and then increase and decrease its Intensity. By high intensity, I mean mapping increasing the level of gray scale intensity in an image from lower value to higher values. The examples I have tried were performed on a Gray Scale wedge image of 10 levels...
The only 'authoritative' web reference (=very often linked) for calculating the coefficients for digital biquad filters seems to be this: http://www.musicdsp.org/files/Audio-EQ-Cookbook.txt Does anywone knows if there is out there any othe good reference or tutorial explaining the role and usage of the parameters Q, BW...
In traditional compressed sensing, one would require $ m = O ( K.logN)$ measurements to recover a signal of size $N$, and sparsity $K$. The paper, Richard Baraniuk - Model Based Compressive Sensing, shows that it is actually possible to get rid of the $log N$ factor in the number of sampled measurements, provided the $...
I've been playing around with tomographic reconstruction algorithms recently. I already have nice working implementations of FBP, ART, a SIRT/SART-like iterative scheme and even using straight linear algebra (slow!). This question is not about any of those techniques; answers of the form "why would anyone do it that ...
I'm trying to work out how (if possible) to extract the frequency components of an arbitrary audio sample (typically music) in an FFT-like manner, but in my research on the FFT algorithm, I'm learning that it suffers some severe restrictions for this purpose. There are 3 problems which the FFT is presenting: Because t...
I'd like to mix two or more PCM audio channels (eg recorded samples) digitally in an acoustically-faithful manner, preferably in near-real-time (meaning little or no peek-ahead). The physically "correct" way to do this is summing the samples. However when you add two arbitrary samples, the resulting value could be up t...
I am specifically thinking about the reconstruction error of L1-minimization from compressed measurements with noise. I know a bound from (8) in The restricted isometry property and its implications for compressed sensing, but I was wondering if there is anything newer and or tighter that I am not aware of. Additionall...
I'm given a graph of the fourier transform of some function $x(t)$. The graph is labelled $F(X(\frac{\omega}{\pi}))$ on the y-axis and $\frac{\omega}{\pi}$ on the x-axis. The graph is plotted only on the interval from 0 to 1 (corresponding to $\omega$ values ranging from 0 to pi). There are points at $\left(\frac{...
I want to use STFT to analyze my signal and am wondering what are differences between two solutions: Use short windows (for ex. 256 samples window) Use longer windows (to get higher resolution in freq. domain) but let the windows overlap more (For ex. I use 1024 samples window, but let 1023 samples overlap) Thank you...
I need to find the squares in an image using OpenCV (no problem in matlab or any other, generally what i expect are some ideas). Consider the test image below : I need to find those coloured squares in above image accurately (not the white long strips). What I have done : I applied the common method (which comes with...
Given an input signal $$x(n)=\cos(6\pi n +\frac{\pi}{6})$$ and system $$y(n)=0.5x(n)-0.1x(n-1)$$. In this case, the coefficients of the difference equation are $a_0=1$, $b_0=0.5$, and $b_1=$. The frequency response to this system is $$H(\omega)= b_0 + b_1e^{-j\omega}= 0.5 - 0.1 \cos(\omega)+0.1 j \sin(\omega)$$ Since...
I have an image I(x,y): Red indicates high values and blue low values. Everything in black is drawn onto the image afterwards. The black dot (xp,yp) represents a point clicked by an user and the black curve a boundary around the high value region around the user clicked point. How can I automatically find this bounda...
I have a situation where i need to extract the top view of a road from the 'skewed' view I get from a cc camera located on some roadside tree. I would like to do this using OpenCV, but since I'm very new to image processing and really don't know what approach to take, please provide me any sort of guidance on how to ap...
I recently encountered a DSP system which did some internal upsampling via zero padding. Expecting zero-order-hold, I was surprised to find that a DC signal did not produce a DC output; many harmonics of the internal (lower) sampling frequency were also present in the output. This leads to my question: What upsampling...
As part of my work I am putting together a simple bursty BPSK communication system. I want to make the demodulation easy, so I am going to put a synchronization sequence at the beginning of each burst to help the receiver lock onto the frequency, phase, and timing. In order to get good synchronization information and ...
I read about method of analyzing audio signals where FFT result is bandpass-filtered and the energy of this band is counted. Can you count the momentary energy in frequency domain? Does this mean summing magnitude value from all frequency bins (after filtering)? (I don't care whether this will yield the value similar ...
If you don't have a lot of money to spend but you want to estimate the frequency response of different loudspeaker setups what is the best way to do it? I bought a very nice microphone and built a box with foam on the inside. My idea is to place the loudspeaker and the mic in the box and measure the power level at diff...
I'm writing up a manuscript and I use the term spectrogram quite a bit. I've defined a spectrogram as the magnitude squared of the short time Fourier transform of my signal. It's an estimator for a time-varying spectrum of a non-stationary process. I'd like to cite a paper for the origin of the term but I'm not sure...
Possible Duplicate: How to get a top view using open cv? I have an image taken from an angle, at a height h from ground. I have all the intrinsic and extrinsic parameters, I need to get birds eye view from the image, How can i approach this ? My first approach was based on wrap perspective mapping but it somehow see...
I'm learning DSP with Smith's book, but I discovered the second edition is from 1999, is this book still usable today?
In what sense does empirical mode decomposition (EMD) bring out the sparsity in a signal? For instance, if I had a signal $f$ and I broke it down into $n$ intrinsic mode functions (IMF), what should I do to get a representation that has very few nonzero components? Generally when speaking of sparsity, we say that a si...
So I have an array of say 25 samples and I would want to be able to note the trends of whether it's decreasing n or increasing from those 25 sample time interval(basically 25 samples array is my buffer that is being filled by every say 1 ms). Note that it is general trend that I am looking for, not the individual deriv...
Hi CV/Pattern Recognition Community, I've got a serious problem regarding the segmentation of an image. The scenario is an atmosphere within a furnace which makes my head go insane. And I need to detect object contours of different materials (glass, ceramics, Al, Ir,..) in a short period of time (<10 seconds) and not j...
I've seen many posts here that state that an FFT is almost all you need to get the fundamental frequency from an input stream. The problem is that, with sound, this doesn't work; we need to look for periodicity as well. I know that autocorrelation is useful in this arena, but even then, I am unfamiliar with how one w...
I'm trying to wrap my head around compressed sensing, so I've been reading this intro to the topic. I'm completely keeping up when they discuss exploiting the sparsity of a signal in some domain to compress it. I also think I get why you'd want to choose a sensing matrix that is incoherent with the basis in which your...
I've been involved in Image Processing kind of project for the last couple of month, before which i had no experience in Image processing. While filtering the image today i had a thought what exactly happens when we fast forward any movie or a video clip ? For example, If I have a video whose Frame rate is 30 , this me...
I have a signal's spectrogram and frequency spectrum (which, if i'm not mistaken, is its the signal's fourier transform) as given below: I understand that the spectrogram plots the frequency (y-axis) vs time (x-axis) and that the colors represent the amplitude. I also understand the frequency spectrum as the plot of ...
The graph below was derived from a raw seismogram recorded during an earthquake over a timespan from t=0 to t=1400 seconds (not shown on x-axis). The original seismogram $s(t)$ is not shown, but it is known that the original signal is the convolution between the source wave $w(t)$, the effects of the medium $g(t)$, a...
I have been told that the signal in the graph below was obtained by passing a seismogram through a high-pass filter to obtain the high frequency-small amplitude waves common in tremors far from the epicenter of an earthquake. The high-pass filter used to unmask the tremor was selected to avoid the 'attenuation' of the...
It seems to me that the spectrogram representation of a finite signal gives you significantly more useful information than a frequency spectrum. As I understand it, the spectrogram breaks down the spectrum over time whereas the frequency spectrum gives you no time dependent information. Why wouldn't I want to use thi...
I'm trying to register 2 images.First image don't change and second image is changing at each iteration by homography matrix and I'm using minimizer to find maximum of phase correlation, but for some reason it's doesn't work, maybe I'm conceptually wrong or maybe I'm using minimizer in a wrong way. here is code on matl...
Hi CV/Pattern Recognition Community, because my last thread was concerning the segmentation as BLOB and started to getting too big, with no clear results. I would like to reconcider the last step of that process regarding the sequential gaining of object contour points. I need to extract the contour of an image from a ...
First post here, trying to make it as good as possible. Do not know how to make the Python code look nice - any tips? :) Anywho - to the main problem: I am currently working on simulating the uplink of LTE starting with the SC-FDM(A) modulator. Now, the "first edition" is the OFDM modulator implemented in Python and ba...
How to convert grayscale intensity input to something like the following image? It seems that no response (0, black) is converted to dark blue, then it goes through other colors to red. How are these colors derived? Is there any standard gray-to-RGB conversion function for these? I have tried representing intensity as...
What is smoothing and how can I do it? I have an array in Matlab which is the magnitude spectrum of a speech signal (the magnitude of 128 points of FFT). How do I smooth this using a moving average? From what I understand, I should take a window size of a certain number of elements, take average, and this becomes the n...
I'm working in a project where fringes are projected against a subject, and a photo is taken. The task is to find the centerlines of the fringes, which represent, mathematically, the 3D curve of intersection between the fringe plane and the subject surface. The photo is a PNG (RGB), and former attempts used grayscaling...
The power spectrum of a signal can be calculated by taking the magnitude squared of its Fourier transform. Being an audio person, the signal of interest for me would be a time series. How does this representation differ from a PSD (power spectral density), and importantly, in what practical situations should one use a ...
I'm writing a C function to generate bandpass FIR filter coefficients using a simple window method (more details here FIR filters by windowing) The important code snippet is the following (f1 and f2 are the low and high bandpass frequency, fs is the sampling frequency, all in hz, M is the taps number, the M coeffs are ...
It is a natural idea to substitute our scanner with mobile phone, and perform OCR with the phone at the same time. If this can come true, two problems must be tackled: one is related to document image binarization, and the other is related to geometric distortion correction. Among all the distortions, projective distor...
Given the history of the sum of a time-varying mixture of periodic signals, say square waves, how would you efficiently estimate the number and frequencies of components active at a particular time? The amplitudes and frequencies of the components are arbitrary but fixed real numbers; if a component is active at a cert...
Please help me understand smoothing of data. This is a follow up to my previous question posted here. Especially the top answer by Junuxx where he says a way of smoothing a function $f(x)$ is: $$ f'[t] = 0.1 f[t-1] + 0.8 f[t] + 0.1 f[t+1] $$ here we can see that for every point in $f[x]$, we are taking a weighted avera...
I know I will have a 10% error rate, but this errors are truly random. I was using solomon reed codes, but if a single bit in the code or parity word is bad the whole word becomes useless. If I have eight bytes of data and eight bytes of parity codes then 5 bit error can make my whole message bad. Is there a better alg...
I have two sensors that measure speed $v(t)$ of a moving vehicle. The first sensor produces a signal $f(t)$ which is a very accurate estimation of speed. However, it only works for slow to moderate speeds and beyond a certain limit, it simply fails to report anything. Let's assume we can model this behavior with an add...
I need to output a data stream at $40\textrm{ kbit/s}$ or faster out of a computer system whose only accessible output peripheral is the audio interface. This interface has reasonable specs, $96\textrm{ kHz}$ sample rate, with $24$-$\textrm{bit}$ resolution, but the output stage is AC-coupled. Only one output channel i...
What are Method to phase shift 50 Hz digital signal using microcontroller. Appart from storage of samples to array and shift sample wise,how to shift this signal fractionally.
I want to calculate a coef of image pixelation to remove bad pictures from a bunch of files. Some pictures results from bad compression and we can see a lot of pixelation on them like img a here: https://i.stack.imgur.com/EPOBI.jpg I have heard of Fourier transform to calculate repetitive pattern, maybe it can be used ...
I'm trying to get an LPC magnitude spectrum to match to an FFT magnitude spectrum. Basically I want the peak height in the LPC Spectrum to match the peak height in the FFT Spectrum. Thanks to numerical recipes I have some code that produces me an LPC spectrum with what looks like the correct shape. bool CLPC::BuildMa...
does anyone know why the MatLab Canny (MLC) is so different compared to the OpenCV Canny (OCC)? ML-C delivers precise and more connected edges than the OCC, but how is that possible? The reason why I ask is, that I need to implement my protoype of ML code into C++ and I wanted to use OpenCV. Exporting code of ML isn't ...
I'm trying to find the frequency response $$H(\omega) = Y(\omega)/X(\omega)$$ for this system- the signal equations are given: $$y[n] = v[n - M] - g * v[n]$$ $$v[n] = x[n] + g * v[n - M]$$ I've tried using the z transform, and the fourier transform, but I just don't know how to get rid of the recursive terms to get it ...
What I understand from differentiation of discrete sinusoidal signal is $y(n) = \alpha(x(n)-y(n-1))$ where $\alpha$ may be a factor depending on sampling frequency and signal frequency. Now y(n) represents signal which is $90^\circ$ phase shifted sinusoid. My question is why to go to Hilbert transform and other complex...
If we convolve 2 signals we get a third signal. What does this third signal represent in relation to the input signals?
I've been involved in Signal processing for quiet a time but I'm still so confused of what frequency could possibly is, as it has different meanings in different scenarios, for example, According to Wikipedia, Frequency is the number of occurrences of a repeating event per unit time. Calculating the frequency of a r...
I'm trying to figure out how to create a good spectral envelope of a signal. Basically I am, at present, taking a windowed section of audio applying an FFT and generating a bar chart style representation of the magnitude of the spectrum. However to add to this I'd really like to have a good spectral envelope overlaid...
This is a binary image. I want to remove the portion in the red region, and keep the one in the green region. The red region has the property of double parallel edges, whereas green does not. If someone could suggest an algorithm it would be helpful.
I am an amateur astronomer and I took recent interest in Radio astronomy and I am also new to Digital Signal Processing. My team is trying to build a radio telescope. I am interested in the data analysis part. One thing that is predominant in the signals that is received is the noise. This is the data from the Radio Te...
After getting suggestion to first study FFT on square wave to understand FFT of discrete signal, I'm trying to understand the FFT of square wave. I've coded a program, here is the details, Frequency of Wave, 100KHz f= 100e3; Sampling Frequency, 1MHz Fs = 1e6; Ts = 1/Fs; %Sampling Rate % Ts = 0.000001 t = 1/f; ...
I plotted a simple Cosine wave and After taking its FFT the frequency can be seen easily but after modifying the original signal to add more lower and higher frequencies, the higher ones are visible but the lower ones is not showing in the FFT plot, Original Signal, Amplitude = 4 x=A*cos(2*pi*f*n); Frequency of Wave: ...
I just got a thought when generating matrices , plotting it and taking its FFT, Lets say, I have randomly input a matrix of length 256, [1 7 9 5 7 1 -2 0..................8] According to the FFT, the resulting 256 FFT coefficients correspond to the following frequencies: 0, $f_s/256$, $2 f_s/256$, $3 f_s/256$, $\ldots...
I wish to create a finite impulse response filter to decode a dolby digital matrix encoded 2 channel signal into 5 channels. These filters would then be used in a realtime pipeline on a Linux machine using jack and jconvolver to do the convolution. The equation is as follows: The reference for the above equation is: ...
Suppose a signal with two-sided power spectral density $N/2$ is passed through an ideal LPF having cutoff frequncy $B\,\mathrm{Hz}$. The output power is equal to $N/2 \times 2B = NB$ Watts. Why not $NB/2$?
For a multi-scale keypoints detector, local extremas are found between the scales at EACH octave. The scale-space is implemented as follows: Each octave is downsampled by half from the first image in the previous octave. In each octave the images are smoothed with a gaussian kernel s times (s in the number of levels i...
Moved from here SO Link. Hi I am new to image processing field. My project is to classify the objects in an image/Video. The input is an image/video from surveillance camera. I should classify the objects into three classes. 1) Humans 2) Animals 3) Others (cars). We can consider a fixed background. Can any one suggest ...
I've designed a simple FM communication system and found that high-frequency noise is a real problem. It appears that this is a well known issue, which has been solved through pre-emphasis of high frequencies at the transmitter and de-emphasis at the receiver. The standard pre-emphasis filter appears to have the follo...
I am just wondering if it's possible to gather the age group of someone speaking in a sample? For example, could I tell whether the sample is a child, teenage, adult, etc?
My project is Face Authentication. System Description: My input is only one image (which was taken when the user logins for the first time) and using that image system should authenticate whenever the user logins to the application. The authentication images may differ from the first input image like -- different illum...
Actually, I am new to this field and would like to work on a project in Video processing. I have a little background in Image processing but would like to study further in video processing. So, If anyone could suggest some readings as pre-requisites for video processing.
I'm trying to do people detection from bird eye view. Actually, it is not a normal bird eye view because I don't have RGB images but I have disparity map, depth map as well. In these kind of images, people are shown like lines that represent a single side of the person. I try to re-explain it: these lines represent the...
The setup: Sound is being played by the speaker on the iphone. At the same moment i record sound via the microphone. Obviously the speaker sound will be recorded in addition to all the external noise. My goal: To determine the level of all external sound which is recorded in addition to the sound from the speakers. (no...
I don't understand the follow step in my notes: It is about the filter roll-off. $H(w)={1\over 1+j(w/w_c)}$ $\Rightarrow$ $|H(w)|= {1\over \sqrt(1+(w/w_c)^2)}$ where $H(w) = {v_o \over v_i}$ $w_c$ = cut-off frequency
Signal processing is Elsevier, so it's not open access, and IEEE Transactions on Signal Processing is also not open access. I was wondering if there's any decent journal on par with those that's open access. I'm trying to submit a paper on discrete time nonlinear filtering. (there are no tags relating to publication/jo...
I use a swept sine to measure a transfer function, multiplying the reponse by the in phase and quadrature excitation to get a complex response at each frequency. Can you suggest an enhancement to this technique to estimate coherence as well to give an estimate of measurement quality, especially at higher frequencies wh...
I've been doing some background readings on demosaicing raw images. I've seen the Kodak PhotoCD raw image dataset mentioned in a few papers on demosaicing: Image Demosaicing: A Systematic Survey High Quality Linear Interpolation for Demosaicing of Bayer-Patterned Images Demosaicing using optimal recovery After some g...
Working with my own MATLAB implementation of the short-time Fourier transform (STFT), I've managed to write code for the analysis step where a 1D time-domain signal $s[t]$ is progressively windowed, taken into the Fourier domain and arranged in a 2D matrix $S[t,\omega]$. Each element in the 2D matrix is a function of ...
I want to extract only the grapes from the images. Unfortunately, sometimes I don't get the grapes exactly. I have a code that doesn't work well in all cases. Sometimes, it does not differentiate between the shadows and the grapes. The example input image: The result I'm getting: And this is my code: RGB = imread('DS...
I know of some oscilloscopes (DSA8300) that repeatedly sample at a few hundred kS/s to reconstruct a few GHz signal. I was wondering if this could be extended to 2D signals (photographs). Can I take a series (say 4) of still pictures using a commercial 16MP camera to finally reconstruct a 32MP image? Will doing this re...
Follow up to the question here This is a screen shot of an intermediate step in the middle of my calculation The dotted line called MY is supposed to be a smoothed version of db pow y db pow y is the magnitude squared represented in base 2 log scale, of the first half of a 128 point FFT In the every next iteration, I ...
I got two sampled signals (samples at different rates ),how to find out the offset between them and to sync automatically in Matlab
I'm currently developing a multi-view stereo system but I'm confused as to how all the standard equations in Structure from Motion are affected in the presence of radial and decentering distortion. For example, the standard imaging model is that of a) World to Camera Coordinates --> translate to camera center and rota...
So, I've just learned that the human voice is not a single sine wave its a bunch of unlimited Sine waves each having a different frequencies, According to Wikipedia, The voice consists of sound made by a human being using the vocal folds for talking, singing, laughing, crying, screaming, etc. Its frequency ranges ...
I'm designing a device that will have an IR photodiode connected to a low power microcontroller's ADC pin. At times, another device will be transmitting a 48KHz square wave, and I'd like to be able to detect when that is the case entirely in software, as well as being able to detect individual high and low transitions....
I have an image, I, sampled on a uniform grid: $\ x_i = i*\Delta x, y_j = j*\Delta y, $ I need to resample this image to a grid rotated counterclockwise by an angle $\ \theta$ around $\ (x_0,y_0)$: $\ u_i = i*\Delta u, v_j = j*\Delta v $ $\ x(u_i,v_j) = x_0 + cos(\theta)*u_i - v_j*sin(\theta)$ $\ y(u_i,v_j) = y_0 + si...
I have a filter kernel $K(\omega)$ completely defined in the frequency domain as a continuous function of angular frequency $\omega$. I know $K(\omega)$ defined as a continuous mathematical equation. Using the discrete FFT and IFFT, I would like to apply this kernel to a discrete time-domain signal using convolution vi...
I am reading a book titled "Two Dimensional Wavelets and their relatives" by Antoine et al. and it talks about vanishing moments. I have trouble understanding the exact significance of it. Can anybody give an idea on vanishing moments?
I am new to MATLAB. I have the audio files A and B, B is recorded using a mic while playing audio file A. The length of file B is different from A. A does not always start from 0 second. My program is supposed to identify, file B from file A (giving a set of files A, X, Y, Z, etc. the program can figure out that the mo...
We're supposed to use KNN (K Nearest Neighbor) method for different values of K to classify a handwritten digit data set. The problem is, this is the first time I want to do a project like that in Matlab. Could someone please explain the normal steps I should do for such problem? What values of K should I use? I read ...
I have been searching for software that can handle the task of registering a 2D image to a 3D volume. The 3D volume is a microCT scan, while the 2D image is taken from a plane passing through the sample. I am looking for something that can locate the plane of the 2D image within this 3D volume, i.e. get the 3D transl...
What kind of compression artifacts would typically be most noticeable to a non-audiophile listener in a low-bit rate mp3 (MPEG-2 Layer III) compressed audio file? What kind of audio signal might one synthesize that would make these artifacts maximally audible between "low" and "high" bit rate mp3 compressed files (usin...
If you do an FFT plot of a simple signal, like: t = 0:0.01:1 ; N = max(size(t)); x = 1 + sin( 2*pi*t ) ; y = abs( fft( x ) ) ; stem( N*t, y ) 1Hz sinusoid + DC FFT of above I understand that the number in the first bin is "how much DC" there is in the signal. y(1) %DC > 101.0000 The number in the second bin shou...
A friend is doing renovations and getting his entire ground-floor street-side wall replaced with glass bricks. I told him that with all those bricks giving similar distorted views of the same room, and scattering light in similar ways, there must be some statistical technique to inverse filter the light that comes thr...
I have a camera and its K matrix (calibration matrix) also I have image of plane, I know the real points of the 4 corners and thier correspondence pixel. I know how to compute the H matrix if z=0 (H is homography matrix between Image and the real plane). And Now I try to get the real point of the plane (3D point) with ...
I'm computing 1 sec. hanning windows from a signal that has a variable frequency between 1-4Hz. My first impression is that data loss caused by the distortion due to the window function is greater than the correction that it is expected to give while taking FFT of that window. Am I right? Is it a bad approach to apply ...
I have a digital signal processing system that operates on a fast x86 machine using double precision floating point numbers. It occurred to me that I am not really using the huge dynamic range of the floating point representation -- all quantities fit easily in the range ±32768. My question: is it possible that switchi...
I am deriving the temporal envelope of a signal (in a particular frequency band) by summing some FFT bin powers and taking the average, I do the FFT frame by frame, windowing and some overlap. Please help me understand the following: when the envelope of the signal changes slowly (say 5 Hz), I can track the envelope f...
I am trying to find some method to detect people using only one camera 3 meters above the ground. This is a frame returned by camera: UPDATE: Video test -> http://dl.dropbox.com/u/5576334/top_head_shadow.avi In order to do that, first I understand that I have to perform a background-foreground segmentation. That is th...
I am familiar with additive (RGB), substractive (CMYK), and HSV-like colorspaces, but an article I'm currently trying to understand operates on YCbCr color space for image segmentation / object definition. I've spend most of my morning looking for something that would explain the YCbCr naturally, but I just don't get i...
I have an original image $\ I(x_i,y_j)$ where $\ x_i = i*\Delta x, 0<= i < n_i $ and $\ y_j = j*\Delta y, 0<= j < n_j$ I am trying to implement a function that resamples the image to: $\ I(x_k,y_l)$ where $\ x_k = k*\Delta xx, 0<= k < n_k $ and $\ y_l = l*\Delta yy, 0<= l < n_l$ The case when $\ \Delta xx <= \Del...
I am not a DSP expert, so I would like someone to check my thought process: I have a text file representing the spectrum (calculated by some FFT hardware), and I'd like to calculate a cepstrum. I'm using Octave in the examples below, but it's not required. My source data is two columns: frequency, amplitude, i.e.: ...
Hi I am just toying around with compression now that we are learning about Fourier transforms in my class (compression is not a part of the class but I became a bit curious). Trying to do this with a wav file and I have some questions. Assume I don't know the sampling rate of the signal (.wav) how can I figure out what...
For signal $x(t)$ with bandwidth $B_x$ and signal $y(t)$ with bandwidth $B_y$, what will the bandwidth of the signal $z(t)=x(t)y(t)$ be?